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CLUSTER TEXT-ACTIVE-DICTATION · 4 ENTRIES · EARLIEST ENTRY 2026-09-25

Voice dictation overlay apps

The cluster consists of desktop voice dictation apps that transcribe speech into text and insert it into the active field. Their dated history is too thin to read a shape from—it predates the index or its members are undated. Mulbit leads on traction with 6 stars, followed by llm-mascot with 4 and transcrit with 2.

Entry timeline

ENTRY TIMELINE

SEP 2026: 2OCT 2026: 2
SEP 2026OCT 2026

Each bar is the month a member carries, which is a creation date where the source published one and a crawl date otherwise. Nothing in the index was found before 11 August 2026, and coverage broadened sharply on 14–15 August, so a bar from then on reports how much we found that month, not how much was built; an earlier bar reports how far back a member's own source dated it — not how long we have been watching.

Members by activity

Activity signals, not revenue.

Build origin · 4 unlabelled

Operator · 4 hobby

Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 4 listed below. Unlabelled means nothing has decided yet — not that the answer is small.

  1. 01mulbit6★14 dayslivehobbyVoice dictation overlay for Windows that transcribes speech into text and pastes it into the active application.
  2. 02transcrit2★23 dayslivehobbyDictation app for Windows and macOS that transcribes the user's voice into text and inserts it into the active field using their own external speech-to-text API key.
  3. 03llm-mascot4★19 days—hobbyDesktop mascot that takes voice dictation, rewrites text with AI, and types the result into the active field.
  4. 04sayo1★7 days—hobbyVoice dictation app for Windows that transcribes speech and pastes the result into the active text field.

Ranked by traction, highest first, and paged 20 at a time — this is a window on the cluster, never the whole of it. Ties are broken by a stable id so a product cannot appear on two pages or fall between them. Browse every cluster.